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Susan SmithSusan Smith has worked as an editor and writer in the technology industry for over 16 years. As an editor she has been responsible for the launch of a number of technology trade publications, both in print and online. Currently, Susan is the Editor of GISCafe and AECCafe, as well as those sites’ newsletters and blogs. She writes on a number of topics, including but not limited to geospatial, architecture, engineering and construction. As many technologies evolve and occasionally merge, Susan finds herself uniquely situated to be able to cover diverse topics with facility. « Less

Susan SmithSusan Smith has worked as an editor and writer in the technology industry for over 16 years. As an editor she has been responsible for the launch of a number of technology trade publications, both in print and online. Currently, Susan is the Editor of GISCafe and AECCafe, as well as those sites’ … More »

Key enhancements built within Intergraph Geospatial 2014 are as follows:

1) Big data management. Where IT meets business systems, Stojic says, there is a plethora of content and data being generated from multiple sensors and systems. “Customers have issues understanding where data is, how to get it to other people and ultimately to make use of it to their advantage.”

“For truly harnessing and getting the most out of big data across an organization, we provide ERDAS APOLLO to be the nexus, or the one central gateway, to all geospatial and business data in an organization. ERDAS APOLLO is an enterprise class cataloguing system that allows organizations to discover, index and understand where all their their data assets and holdings are. With this solution we address the issues such as when data is collected there is so much data people don’t know what data to use, where to get it, for what process and so forth.”

“ERDAS APOLLO can identify automatically and catalog where data is, and it allows people to discover and search against those data holdings and find them and lastly, being able to find them,” said Stojic. “You have to know where it is, to understand it so you can get, and deliver it through a number of different IT pipes depending on the bandwidth of the organization.”

ERDAS APOLLO can manage all spatial and non-spatial data types, and has now been enhanced to provide even more powerful workflows for business and feature data types within the organization.

2. Create Custom Analytics The second key enhancement is to be able to get data in a form that users are able to use it. Users need to use multi source content in order to ultimately execute the analytical process and communicate results of that process to the end user who may not have background in geospatial. Through modeling capabilities that use multiple datasets of raster, feature and point cloud data users can extract meaningful, actionable information, and even deliver these processes and information as a service. “We took parts of GeoMedia and its modeling environment and integrated those inside of ERDAS IMAGINE spatial modeling solution, ultimately combining and extending our analytical capabilities to support more than raster, point cloud and feature data alone, so customers can execute even more robust processes and deliver even more useful products to customers,” said Stoljic.

Within ERDAS IMAGINE, data analysts can create powerful spatial models, chaining operators, interactively modifying associated variables, and dynamically previewiing results of that process. Python Scripting allows users to customize and extend where necessary. “Building upon this powerful process creator, analysts can now work with point clouds and other new specialized operators within the ERDAS IMAGINE spatial modeler,” said Stojic. Analysts can now chain powerful operators like unsupervised classification, specialized brightness and contrast correction and image segmentation. Plus more memory has been made available for complex processing and execution. “And for developers, we’ve now made it possible to build your own operators using a powerful SDK,” added Stojic.

3. Mobility Being able to take information from the organization and go into the field, connecting workflows in the field with data holdings inside organizations is a big requirement. “We introduced several mobile apps that allow you to connect to enterprise servers, pull data from our servers, open source servers and other GIS servers, and do field work and push data back into the system so others can find and access it,” said Stojic.

Intergraph has modernized Intergraph Geospatial 2014 with 64-bit support, support for different cloud platforms, for different cloud platforms, consolidating technologies together.

Because data is so big, the challenge the organization has is getting the data to lightweight apps. “What we did with this release is extend our ECW compression technology to work on mobile devices,” said Stojic. “An example that we worked with for RWE in Germany was to take the entire country of Germany which constitutes more 30 terabytes of data and compressed it so it could be delivered over mobile devices through our new SDK. That’s what we talking about when addressing big data challenge. – mobile apps, web apps and desktop apps.”

Intergraph also has a product called Mobile Alert, a crowdsourcing app that operates on the cloud. “A local county or city has this app that its citizens download for free, and it allows its citizens to be remote sensors, take pictures, geotag and document what they see and ultimately share that information with the city council, that gets an itemized list of incidents.”

Intergraph® has launched Intergraph Geospatial 2014, a comprehensive portfolio of industry-leading technologies. Building upon the foundation introduced in 2013, this release provides enhanced analytical tools, mobile support and tremendous cost savings associated with managing big data.

With an ongoing focus on a fully united, modern and dynamic product portfolio, this powerful release synchronizes the technologies across all Intergraph product lines – broadening the reach and availability for fully integrated solutions for all users of geospatial information.

“As today’s organizations require the most dynamic geospatial solutions for driving enhanced decision-making, we are excited to share this release, introducing new mobility, analytics and big data management tools,” said Mladen Stojic, president, Hexagon Geospatial. “We are also continuing to develop creative and intuitive interfaces, smarter workflows and automated technologies that support the entire geospatial information lifecycle, transforming multi-source content into dynamic and actionable information.”